{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e20r.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Sep 2016, 00:33:36
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta"
{txt}
{com}. 
. gen t = .
{txt}(614 missing values generated)

{com}. replace t = 0 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace t = 1 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace t = 5 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace t = 5 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace t = 5 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace t = 5 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace t = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if t == 5
{txt}(477 observations deleted)

{com}. 
. set seed  358395
{txt}
{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{res}{txt}
Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d2 p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-104.86826}  
Iteration 1:{space 3}log pseudolikelihood = {res:-104.86826}  

Structural equation model{col 49}Number of obs{col 67}= {res}       128
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-104.86826

{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .4948995{col 26}{space 2} .1018664{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .2952451{col 67}{space 3}  .694554
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0449487{col 26}{space 2}  .053964{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-.1507162{col 67}{space 3} .0608188
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1442737{col 26}{space 2} .0841337{col 37}{space 1}    1.71{col 46}{space 3}0.086{col 54}{space 4}-.0206254{col 67}{space 3} .3091727
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3218845{col 26}{space 2} .0882772{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .1488643{col 67}{space 3} .4949048
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} -.015191{col 26}{space 2} .0148259{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4}-.0442492{col 67}{space 3} .0138671
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1347746{col 26}{space 2} .0202192{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} .0951456{col 67}{space 3} .1744036
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8124648{col 26}{space 2} .0129127{col 37}{space 1}   62.92{col 46}{space 3}0.000{col 54}{space 4} .7871565{col 67}{space 3} .8377732
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    var(e.d2){c |}{col 14}{res}{space 2}  .043587{col 26}{space 2} .0113408{col 54}{space 4} .0261748{col 67}{space 3} .0725821
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0272997{col 26}{space 2} .0062116{col 54}{space 4} .0174776{col 67}{space 3} .0426416
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       128{col 27}        .{col 38}-104.8683{col 49}     5{col 58} 219.7365{col 69} 233.9967
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .4948995{col 26}{space 2} .1018664{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .2952451{col 67}{space 3}  .694554
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0449487{col 26}{space 2}  .053964{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-.1507162{col 67}{space 3} .0608188
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1442737{col 26}{space 2} .0841337{col 37}{space 1}    1.71{col 46}{space 3}0.086{col 54}{space 4}-.0206254{col 67}{space 3} .3091727
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} -.015191{col 26}{space 2} .0148259{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4}-.0442492{col 67}{space 3} .0138671
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1347746{col 26}{space 2} .0202192{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} .0951456{col 67}{space 3} .1744036
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2} -.007518{col 26}{space 2} .0079583{col 37}{space 1}   -0.94{col 46}{space 3}0.345{col 54}{space 4} -.023116{col 67}{space 3} .0080799
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0666999{col 26}{space 2} .0166942{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .0339799{col 67}{space 3} .0994198
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:6} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .4948995{col 26}{space 2} .1018664{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .2952451{col 67}{space 3}  .694554
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0524667{col 26}{space 2} .0597663{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-.1696065{col 67}{space 3} .0646731
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .2109735{col 26}{space 2} .0817301{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0507855{col 67}{space 3} .3711616
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} -.015191{col 26}{space 2} .0148259{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4}-.0442492{col 67}{space 3} .0138671
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1347746{col 26}{space 2} .0202192{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} .0951456{col 67}{space 3} .1744036
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       128
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0666999{col 26}{space 2} .0225325{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .0225371{col 67}{space 3} .1108627
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .2109735{col 26}{space 2} .0500187{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4} .1129386{col 67}{space 3} .3090085
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       128
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .06669988{col 27}{space 2}-.0045193{col 38}{space 2} .02253247{col 51}{space 2} .0185917{col 63}{space 1} .1132558{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0337259{col 63}{space 1} .1223774{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .21097355{col 27}{space 2}-.0015977{col 38}{space 2} .05001873{col 51}{space 2} .1137852{col 63}{space 1} .3070618{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .1175761{col 63}{space 1} .3086865{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       128
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} -.007518{col 26}{space 2} .0148508{col 37}{space 1}   -0.51{col 46}{space 3}0.613{col 54}{space 4} -.036625{col 67}{space 3} .0215889
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2}-.0524667{col 26}{space 2} .0378894{col 37}{space 1}   -1.38{col 46}{space 3}0.166{col 54}{space 4}-.1267286{col 67}{space 3} .0217951
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       128
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2}-.00751803{col 27}{space 2}-.0008634{col 38}{space 2} .01485077{col 51}{space 2}-.0405045{col 63}{space 1} .0195098{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0417556{col 63}{space 1} .0186766{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} -.0524667{col 27}{space 2} .0001821{col 38}{space 2}  .0378894{col 51}{space 2}-.1268362{col 63}{space 1}  .026043{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1243462{col 63}{space 1} .0276888{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       120
                                                {txt}F(3, 116)         =  {res}     0.54
                                                {txt}Prob > F          = {res}    0.6539
                                                {txt}R-squared         = {res}    0.0137
                                                {txt}Root MSE          =    {res} .50476

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2}-.0682084{col 26}{space 2} .0987387{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.2637727{col 67}{space 3}  .127356
{txt}{space 4}interest {c |}{col 14}{res}{space 2}-.1610486{col 26}{space 2} .1656112{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-.4890625{col 67}{space 3} .1669653
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.1144655{col 26}{space 2} .1807733{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4}-.4725098{col 67}{space 3} .2435787
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6337933{col 26}{space 2}  .134797{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .3668109{col 67}{space 3} .9007757
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e20r.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}10 Sep 2016, 00:35:21
{txt}{.-}
{smcl}
{txt}{sf}{ul off}